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ACCV
2010
Springer
14 years 11 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
ISDA
2010
IEEE
15 years 1 months ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ICPR
2008
IEEE
15 years 11 months ago
A new algorithm for static camera foreground segmentation via active coutours and GMM
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
Chengkai Wan, Baozong Yuan, Zhenjiang Miao
ICPR
2008
IEEE
16 years 5 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel